S. Alireza Golestaneh

email:

sgolesta@ andrew.cmu.edu

[scholar] [github] [linkedin]

[CV updated Nov 2020]

About me

I am a Project Scientist at The Robotics Institute at Carnegie Mellon University.

Formerly I worked as a Postdoctoral Fellow at CMU with Prof. Kris Kitani since May 2019. Before that I spent one year at Human Sensing Lab working on video object detection while I was working with Dr. Dong Huang and Prof. Fernando de la Torre.

I received my Ph.D. in Electrical Engineering in 2018 from Arizona State University under the supervision of Prof. Lina Karam.

Before starting my Ph.D., I received my M.Sc. in Electrical Engineering in 2013 from Oklahoma State University under the supervision of Prof. Damon Chandler. I received my B.Sc. in Electrical Engineering under the supervision of Prof. Haidar Samet in 2010 from Shiraz University.

I also worked as an intern in Dolby Vision in Spring and Summer 2014 working under the supervision of Dr. Guan-Ming Su, at Dolby I also collaborated closely with Dr. Scott Daly.

My research interests are in computer vision, image processing, human vision understanding, visual perception, machine learning, and deep learning.

Interests

Computer Vision, Machine Learning, Perception

Selected Publications and Patents:

  • Importance of Self-Consistency in Active Learning for Semantic Segmentation

S. A Golestaneh, K Kitani | The British Machine Vision Conference (BMVC) | 2020

[GitHub][pdf] [Video]

  • 3D Human Motion Estimation via Motion Compression and Refinement

Z. Luo, S. A. Golestaneh, K. M. Kitani | 2020 (ACCV) | 2020

[GitHub][pdf] [Video]

  • No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning

S. A Golestaneh, K Kitani | 2020

[GitHub][pdf]

Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients

S. A Golestaneh, LJ Karam | CVPRW | 2018

[GitHub][pdf] [project page]

  • Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes

S. A Golestaneh, LJ Karam | CVPR | 2017

[GitHub][pdf] [project page]

  • Reduced-Reference Quality Assessment Based on the Entropy of DWT Coefficients of Locally Weighted Gradient Magnitudes

SA Golestaneh, LJ Karam | IEEE Transactions on Image Processing | 2016

[GitHub][pdf] [project page]

  • Reduced-reference synthesized-texture quality assessment based on multi-scale spatial and statistical texture attributes

SA Golestaneh, LJ Karam | Image Processing (ICIP), 2016 IEEE International Conference on | 2016

  • Reduced-reference quality assessment based on the entropy of DNT coefficients of locally weighted gradients

SA Golestaneh, LJ Karam | Image Processing (ICIP), 2015 IEEE International Conference on | 2015

  • The effect of texture granularity on texture synthesis quality

SA Golestaneh, MM Subedar, LJ Karam | SPIE Optical Engineering+ Applications | 2015

[pdf] project page]

  • Scene-Change Detection Using Video Stream Pairs

S Golestaneh, GM Su, , GM Su | US Patent App. 14/801,633

  • Use of a local cone model to predict essential CSF light adaptation behavior used in the design of luminance quantization nonlinearities

S Daly, SA Golestaneh | Human Vision and Electronic Imaging | 2014

  • Algorithm for JPEG artifact reduction via local edge regeneration

SA Golestaneh, DM Chandler | Journal of Electronic Imaging | 2014

[pdf] [project page and code]

  • No-reference quality assessment of JPEG images via a quality relevance map

SA Golestaneh, DM Chandler | IEEE signal processing letters | 2013

[pdf] [project page and code]

Honors and Awards:

Nominated and Finalist for two (Sun Devil Spirit Award and Outstanding Graduate Student Leader) Pitchfork Awards 2017

Director of Wellness, Graduate and professional student association 2016-2017

Graduate Excellent Teaching Award, Arizona State University 2015-2016

University Graduate Fellowships, Arizona State University 2014-2015

Graduate Research Excellence Award, Oklahoma State University, 2014

Graduated in top 1% of my class, Oklahoma State University

Professional Activities:

Carnegie Mellon University: MSCV Admission Committee (2020)

Reviewer: TPAMI, TIP, TMM, JEI, CVPR, ICCV, BMVC

Assembly member of Graduate and professional student association (GPSA) 2015-2016

IEEE member 2010-Present